The impact of AI-aided service delivery on post-purchase behaviour of health insurance consumers' during COVID-19

Published: 14 March 2023| Version 1 | DOI: 10.17632/f5xrnzkxsp.1
rohit bansal


Data collected from health insurance users in India during COVID 19. Its primary data set had 269 participants. An online structured questionnaire has been prepared with seven constructs, comprising 25 questions to test the proposed hypothesis. These verified constructs are adopted from multi-disciplinary sources in social sciences. Besides this, demographic information from the respondent has been asked to understand their demographic characteristics. Data was collected using a multi-stage stratified random sampling procedure. For this purpose, Indian states and union territories (UTs) have been divided into two groups based on their per capita income. The first group consists of 19 states/UTs with per capita income higher than the national average, while the second group consists of 14 states/UTs with per capita income lower than the national average. This population has further been divided into rural, semi-urban, and urban areas. We randomly selected samples from states/UTs such as Maharashtra, Karnataka, Delhi, Chandigarh, Uttarakhand, and Punjab from the first group. Data were also collected from Uttar Pradesh, Bihar, Jharkhand, Odisha, Rajasthan, and Madhya Pradesh to represent the second group. We received a total of 254 responses; after scrutiny, 8 were discarded, and only 246 were used for further analysis.



Rajiv Gandhi Institute of Petroleum Technology


Health Insurance